- How are visualizations perceived by different humans?
- How do we know that a given visualization is correctly interpreted?
Perception:
- Recognizing
- Organizing (gathering, storing)
- Interpreting (binding to knowledge)
732A98
Perception:
Channel capacity: how many different levels of a feature we can perceive
Summary: 6-7 unique values max.
Note: Combining metrics does not sum up the capacity!…
Relative judgement: comparing two values of a feature
Errors (in increasing order)
–> Pie charts are less effective than Bar Charts
Color:
Aesthetics:
Other:
Abusing dimensionality/wrong mapping
Example: Visualizing number of gears and number of cylinders in cars
Measure of proximity (ex: quantiative vars, Euclidian distance)
Given objects with known matrix of similarities or dissimilarities. Each object is characterized by -dimensional vector
Two types of MDS:
(algorithm is not discussed here)
Seaching for points , such that distances between and are minimized
Given objects with known matrix of similarities of dissimilarities.
For some configuration (in lower dimension) with matrix , define stress by
How to find optimal configuration?